Table 2.

Regressions explaining financial measures

Satisfaction w/ income from entrepreneurshipDisposable
income
Financial
problems
Female−0.0552−0.142*−0.0177
Age−0.00823**−0.00564−0.00948**
University degree−0.01570.216***−0.177**
Urban (Prague or Brno)−0.00755−0.1030.183**
Children in household0.04300.0294−0.0307
Necessity entrepreneurship−0.100**−0.0859**−0.00274
Locus of control0.298***0.171***−0.193***
Self-efficacy0.0925**0.140***−0.101**
Breadwinner
Respondentref.ref.ref.
Respondent and sb else0.01550.102−0.220***
Somebody else−0.367***−0.0658−0.114
Business type
Established businessref.ref.ref.
Other new business (f. 2018+)−0.104−0.167*0.275***
Startup−0.324**−0.618***0.882***
Industry dummiesYesYesYes
R20.2130.1520.188
N111311131113
p(business type)0.024<0.0001<0.0001
Notes:

(i) Last row shows the p-value of a Wald test for joint significance of business type dummies (based on a heteroscedasticity-robust variance matrix); (ii) *p < 0.05; **p < 0.01; ***p < 0.001. Each column represents one regression model

Source: Authors’ own work

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